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          <h1 class="post-title" itemprop="name headline">JVM调优命令--jstat</h1>
        

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        <p>jstat是JDK自带的一个轻量级小工具，主要利用JVM内建的指令对Java应用程序的资源和性能进行实时的命令行的监控，包括虚拟机进程中的类装载、内存、垃圾收集、JIT编译等运行数据。</p>
<p>jstat命令格式：<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -&lt;options&gt; [-t] [-h&lt;lines&gt;] &lt;vmid&gt; [&lt;interval&gt; [&lt;count&gt;]]</span><br></pre></td></tr></table></figure></p>
<p>参数：</p>
<ul>
<li><strong>options</strong>：参数选项</li>
<li><strong>-t</strong>：可以在打印的列加上Timestamp列，用于显示系统运行的时间</li>
<li><strong>-h</strong>： 可以在周期性数据数据的时候，可以在指定输出多少行以后输出一次表头</li>
<li><strong>vmid</strong>： Virtual Machine ID（进程的 pid）</li>
<li><strong>interval</strong>： 执行每次的间隔时间，单位为毫秒</li>
<li><strong>count</strong>： 用于指定输出多少次记录，缺省则会一直打印</li>
</ul>
<p>options参数：<br>
<table>
    <thead>
    <tr>
        <th>Option</th>
        <th>Displays</th>
    </tr>
    </thead>
    <tbody>
    <tr>
        <td>class</td>
        <td>类加载的行为统计</td>
    </tr>
    <tr>
        <td>compiler</td>
        <td>HotSpt JIT编译器行为统计</td>
    </tr>
    <tr>
        <td>gc</td>
        <td>垃圾回收堆的行为统计。Statistics of the behavior of the garbage collected heap.</td>
    </tr>
    <tr>
        <td>gccapacity</td>
        <td>各个垃圾回收代容量（young,old,perm）和他们相应的空间统计</td>
    </tr>
    <tr>
        <td>gcutil</td>
        <td>垃圾回收统计概述（百分比）</td>
    </tr>
    <tr>
        <td>gccause</td>
        <td>垃圾收集统计概述（同-gcutil），附加最近两次垃圾回收事件的原因</td>
    </tr>
    <tr>
        <td>gcnew</td>
        <td>新生代行为统计</td>
    </tr>
    <tr>
        <td>gcnewcapacity</td>
        <td>新生代与其相应的内存空间的统计</td>
    </tr>
    <tr>
        <td>gcold</td>
        <td>老年代和永生代行为统计</td>
    </tr>
    <tr>
        <td>gcoldcapacity</td>
        <td>老年代行为统计</td>
    </tr>
    <tr>
        <td>gcpermcapacity</td>
        <td>永久代行为统计</td>
    </tr>
    <tr>
        <td>printcompilation</td>
        <td>输出JIT编译的方法信息</td>
    </tr>
    </tbody>
</table>
</p>
<h4 id="类加载统计"><a href="#类加载统计" class="headerlink" title="类加载统计"></a>类加载统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -class &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>显示加载class的数量，及所占空间等信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -class 3627</span><br><span class="line">Loaded  Bytes  Unloaded  Bytes     Time   </span><br><span class="line">  7923 15652.6        0     0.0       4.65</span><br></pre></td></tr></table></figure></p>
<ul>
<li>Loaded：已经装载的类的数量</li>
<li>Bytes： 装载类所占用的字节数</li>
<li>Unloaded：已经卸载类的数量</li>
<li>Bytes：卸载类的字节数</li>
<li>Time：装载和卸载类所花费的时间</li>
</ul>
<h4 id="编译统计"><a href="#编译统计" class="headerlink" title="编译统计"></a>编译统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -compiler &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>显示VM实时编译（JIT）的数量等信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -compiler 3627</span><br><span class="line">Compiled Failed Invalid   Time   FailedType FailedMethod</span><br><span class="line">    1897      0       0    42.77          0</span><br></pre></td></tr></table></figure></p>
<ul>
<li>Compiled：编译任务执行数量</li>
<li>Failed：编译任务执行失败数量</li>
<li>Invalid：编译任务执行失效数量</li>
<li>Time：编译任务消耗时间</li>
<li>FailedType：最后一个编译失败任务的类型</li>
<li>FailedMethod：最后一个编译失败任务所在的类及方法</li>
</ul>
<h4 id="垃圾回收统计"><a href="#垃圾回收统计" class="headerlink" title="垃圾回收统计"></a>垃圾回收统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat –gc &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>显示GC相关的堆信息，查看GC的次数及时间。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gc 3627</span><br><span class="line"> S0C    S1C    S0U    S1U      EC       EU        OC         OU       PC     PU    YGC     YGCT    FGC    FGCT     GCT   </span><br><span class="line">384.0  384.0   0.0   256.0  348736.0 219576.5  699072.0   65893.8   55424.0 55262.9    347    1.283   0      0.000    1.283</span><br></pre></td></tr></table></figure></p>
<ul>
<li>S0C：年轻代中第一个survivor（幸存区）的容量（字节）</li>
<li>S1C：年轻代中第二个survivor（幸存区）的容量（字节）</li>
<li>S0U：年轻代中第一个survivor（幸存区）目前已使用空间（字节）</li>
<li>S1U：年轻代中第二个survivor（幸存区）目前已使用空间（字节）</li>
<li>EC：年轻代中Eden（伊甸园）的容量（字节）</li>
<li>EU：年轻代中Eden（伊甸园）目前已使用空间（字节）</li>
<li>OC：老年代的容量（字节）</li>
<li>OU：老年代目前已使用空间（字节）</li>
<li>MC：metaspace（元空间）的容量（字节）</li>
<li>MU：metaspace（元空间）目前已使用空间（字节）</li>
<li>YGC：从应用程序启动到采样时年轻代中GC（Minor GC）次数</li>
<li>YGCT：从应用程序启动到采样时年轻代中GC（Minor GC）所用时间（s）</li>
<li>FGC：从应用程序启动到采样时老年代GC（Full GC）次数</li>
<li>FGCT：从应用程序启动到采样时老年代GC（Full GC）所用时间（s）</li>
<li>GCT：从应用程序启动到采样时GC用的总时间（s）</li>
</ul>
<h4 id="堆内存统计"><a href="#堆内存统计" class="headerlink" title="堆内存统计"></a>堆内存统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gccapacity &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>可以显示JVM中三代（young,old,perm）对象的使用和占用大小。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gccapacity 3627</span><br><span class="line"> NGCMN    NGCMX     NGC     S0C   S1C       EC      OGCMN      OGCMX       OGC         OC      PGCMN    PGCMX     PGC       PC     YGC    FGC </span><br><span class="line">349504.0 699008.0 349504.0  384.0  384.0 348736.0   699072.0  1398144.0   699072.0   699072.0  21248.0  83968.0  55424.0  55424.0    348     0</span><br></pre></td></tr></table></figure></p>
<ul>
<li>NGCMN：年轻代（young）中初始化（最小）的大小（字节）</li>
<li>NGCMX：年轻代（young）的最大容量（字节）</li>
<li>NGC：年轻代（young）中当前的容量（字节）</li>
<li>S0C：年轻代（young）中第一个survivor（幸存区）的容量（字节）</li>
<li>S1C： 年轻代（young）中第二个survivor（幸存区）的容量（字节）</li>
<li>EC：年轻代（young）中Eden（伊甸园）的容量（字节）</li>
<li>OGCMN：老年代（old）中初始化（最小）的大小（字节）</li>
<li>OGCMX：老年代（old）的最大容量（字节）</li>
<li>OGC：老年代（old）当前新生成的容量（字节）</li>
<li>OC：老年代（old）的容量（字节）</li>
<li>MCMN：元空间（metaspace）中初始化（最小）的大小（字节）</li>
<li>MCMX ：元空间（metaspace）的最大容量（字节）</li>
<li>MC：元空间（metaspace）当前新生成的容量 （字节）</li>
<li>CCSMN：最小压缩类空间大小</li>
<li>CCSMX：最大压缩类空间大小</li>
<li>CCSC：当前压缩类空间大小</li>
<li>YGC：从应用程序启动到采样时年轻代中GC次数</li>
<li>FGC：从应用程序启动到采样时老年代GC（Full GC）次数</li>
</ul>
<h4 id="元空间内存统计"><a href="#元空间内存统计" class="headerlink" title="元空间内存统计"></a>元空间内存统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gcmetacapacity &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>metaspace 中对象的信息及其占用量。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gcmetacapacity 9764</span><br><span class="line">MCMN       MCMX        MC       CCSMN      CCSMX       CCSC     YGC   FGC    FGCT     GCT</span><br><span class="line">0.0  1206272.0   179160.0        0.0  1048576.0    23256.0   216     0    0.000    8.175</span><br></pre></td></tr></table></figure></p>
<ul>
<li>MCMN:最小元数据容量</li>
<li>MCMX：最大元数据容量</li>
<li>MC：当前元数据空间大小</li>
<li>CCSMN：最小压缩类空间大小</li>
<li>CCSMX：最大压缩类空间大小</li>
<li>CCSC：当前压缩类空间大小</li>
<li>YGC：从应用程序启动到采样时年轻代中gc次数</li>
<li>FGC：从应用程序启动到采样时old代（全gc）gc次数</li>
<li>FGCT：从应用程序启动到采样时old代（全gc）gc所用时间（s）</li>
<li>GCT：从应用程序启动到采样时gc用的总时间（s）</li>
</ul>
<h4 id="新生代垃圾回收统计"><a href="#新生代垃圾回收统计" class="headerlink" title="新生代垃圾回收统计"></a>新生代垃圾回收统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gcnew &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>年轻代对象的信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gcnew 3627</span><br><span class="line"> S0C    S1C    S0U    S1U   TT MTT  DSS      EC       EU     YGC     YGCT  </span><br><span class="line"> 384.0  384.0  288.0    0.0  1  15  384.0 348736.0 324048.4    348    1.285</span><br></pre></td></tr></table></figure></p>
<ul>
<li>S0C：年轻代中第一个survivor（幸存区）的容量（字节）</li>
<li>S1C：年轻代中第二个survivor（幸存区）的容量（字节）</li>
<li>S0U：年轻代中第一个survivor（幸存区）目前已使用空间（字节）</li>
<li>S1U：年轻代中第二个survivor（幸存区）目前已使用空间（字节）</li>
<li>TT：持有次数限制</li>
<li>MTT：最大持有次数限制</li>
<li>DSS：期望的幸存区大小</li>
<li>EC：年轻代中Eden（伊甸园）的容量（字节）</li>
<li>EU：年轻代中Eden（伊甸园）目前已使用空间（字节）</li>
<li>YGC：从应用程序启动到采样时年轻代中gc次数</li>
<li>YGCT：从应用程序启动到采样时年轻代中gc所用时间（s）</li>
</ul>
<h4 id="老年代垃圾回收统计"><a href="#老年代垃圾回收统计" class="headerlink" title="老年代垃圾回收统计"></a>老年代垃圾回收统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gcold &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>老年代对象的信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gcold 3627</span><br><span class="line">   PC       PU        OC          OU       YGC    FGC    FGCT     GCT   </span><br><span class="line"> 55424.0  55262.9    699072.0     65965.8    352     0    0.000    1.292</span><br></pre></td></tr></table></figure></p>
<ul>
<li>MC：metaspace（元空间）的容量（字节）</li>
<li>MU：metaspace（元空间）目前已使用空间（字节）</li>
<li>CCSC:压缩类空间大小</li>
<li>CCSU：压缩类空间使用大小</li>
<li>OC：老年代的容量（字节）</li>
<li>OU：老年代目前已使用空间（字节）</li>
<li>YGC：从应用程序启动到采样时年轻代中GC次数</li>
<li>FGC：从应用程序启动到采样时老年代（Full GC）gc次数</li>
<li>FGCT：从应用程序启动到采样时老年代（Full GC）GC所用时间（s）</li>
<li>GCT：从应用程序启动到采样时GC用的总时间（s）</li>
</ul>
<h4 id="老年代内存统计"><a href="#老年代内存统计" class="headerlink" title="老年代内存统计"></a>老年代内存统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gcoldcapacity &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>老年代对象的信息及其占用量。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gcoldcapacity 3627</span><br><span class="line">   OGCMN       OGCMX        OGC         OC       YGC   FGC    FGCT     GCT   </span><br><span class="line">   699072.0   1398144.0    699072.0    699072.0   352     0    0.000    1.292</span><br></pre></td></tr></table></figure></p>
<ul>
<li>OGCMN：老年代中初始化（最小）的大小（字节）</li>
<li>OGCMX：老年代的最大容量（字节）</li>
<li>OGC：老年代当前新生成的容量（字节）</li>
<li>OC：老年代的容量（字节）</li>
<li>YGC：从应用程序启动到采样时年轻代中GC次数</li>
<li>FGC：从应用程序启动到采样时老年代（Full GC）GC次数</li>
<li>FGCT：从应用程序启动到采样时老年代（Full GC）GC所用时间（s）</li>
<li>GCT：从应用程序启动到采样时GC用的总时间（s）</li>
</ul>
<h4 id="垃圾回收统计-1"><a href="#垃圾回收统计-1" class="headerlink" title="垃圾回收统计"></a>垃圾回收统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gcutil &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>统计GC信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gcutil 3627</span><br><span class="line">  S0     S1     E      O      P     YGC     YGCT    FGC    FGCT     GCT   </span><br><span class="line">  0.00  66.67  66.67   9.50  99.71    357    1.301     0    0.000    1.301</span><br></pre></td></tr></table></figure></p>
<ul>
<li>S0：年轻代中第一个survivor（幸存区）已使用的占当前容量百分比</li>
<li>S1：年轻代中第二个survivor（幸存区）已使用的占当前容量百分比</li>
<li>E：年轻代中Eden（伊甸园）已使用的占当前容量百分比</li>
<li>O：老年代已使用的占当前容量百分比</li>
<li>P：永久代已使用的占当前容量百分比</li>
<li>YGC：从应用程序启动到采样时年轻代中GC次数</li>
<li>YGCT：从应用程序启动到采样时年轻代中GC所用时间（s）</li>
<li>FGC：从应用程序启动到采样时老年代（Full GC）GC次数</li>
<li>FGCT：从应用程序启动到采样时老年代（Full GC）GC所用时间（s）</li>
<li>GCT：从应用程序启动到采样时GC用的总时间（s）</li>
</ul>
<h4 id="垃圾收集统计概述"><a href="#垃圾收集统计概述" class="headerlink" title="垃圾收集统计概述"></a>垃圾收集统计概述</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -gccause &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>显示垃圾回收的相关信息（同-gcutil）,同时显示最后一次或当前正在发生的垃圾回收的诱因。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">[lenoy@lenoy]$ jstat -gccause 3627</span><br><span class="line">  S0     S1     E      O      P     YGC     YGCT    FGC    FGCT     GCT    LGCC                 GCC                 </span><br><span class="line">  0.00  66.67  82.79   9.50  99.71    357    1.301     0    0.000    1.301 unknown GCCause      No GC</span><br></pre></td></tr></table></figure></p>
<ul>
<li>LGCC：最后一次GC原因</li>
<li>GCC：当前GC原因（No GC 为当前没有执行GC）</li>
</ul>
<h4 id="JVM编译方法统计"><a href="#JVM编译方法统计" class="headerlink" title="JVM编译方法统计"></a>JVM编译方法统计</h4><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">jstat -printcompilation &lt;pid&gt;</span><br></pre></td></tr></table></figure>
<p>当前JVM执行的信息。<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">Compiled  Size  Type Method</span><br><span class="line">    1897    244    1 org/quartz/core/QuartzSchedulerThread getRandomizedIdleWaitTime</span><br></pre></td></tr></table></figure></p>
<ul>
<li>Compiled ：编译任务的数目</li>
<li>Size ：方法生成的字节码的大小</li>
<li>Type：编译类型</li>
<li>Method：类名和方法名用来标识编译的方法。类名使用/做为一个命名空间分隔符。方法名是给定类中的方法。上述格式是由-XX:+PrintComplation选项进行设置的</li>
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              <div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-4"><a class="nav-link" href="#类加载统计"><span class="nav-number">1.</span> <span class="nav-text">类加载统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#编译统计"><span class="nav-number">2.</span> <span class="nav-text">编译统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#垃圾回收统计"><span class="nav-number">3.</span> <span class="nav-text">垃圾回收统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#堆内存统计"><span class="nav-number">4.</span> <span class="nav-text">堆内存统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#元空间内存统计"><span class="nav-number">5.</span> <span class="nav-text">元空间内存统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#新生代垃圾回收统计"><span class="nav-number">6.</span> <span class="nav-text">新生代垃圾回收统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#老年代垃圾回收统计"><span class="nav-number">7.</span> <span class="nav-text">老年代垃圾回收统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#老年代内存统计"><span class="nav-number">8.</span> <span class="nav-text">老年代内存统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#垃圾回收统计-1"><span class="nav-number">9.</span> <span class="nav-text">垃圾回收统计</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#垃圾收集统计概述"><span class="nav-number">10.</span> <span class="nav-text">垃圾收集统计概述</span></a></li><li class="nav-item nav-level-4"><a class="nav-link" href="#JVM编译方法统计"><span class="nav-number">11.</span> <span class="nav-text">JVM编译方法统计</span></a></li></ol></div>
            

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                if(title != '') {
                  keywords.forEach(function(keyword) {
                    function getIndexByWord(word, text, caseSensitive) {
                      var wordLen = word.length;
                      if (wordLen === 0) {
                        return [];
                      }
                      var startPosition = 0, position = [], index = [];
                      if (!caseSensitive) {
                        text = text.toLowerCase();
                        word = word.toLowerCase();
                      }
                      while ((position = text.indexOf(word, startPosition)) > -1) {
                        index.push({position: position, word: word});
                        startPosition = position + wordLen;
                      }
                      return index;
                    }

                    indexOfTitle = indexOfTitle.concat(getIndexByWord(keyword, titleInLowerCase, false));
                    indexOfContent = indexOfContent.concat(getIndexByWord(keyword, contentInLowerCase, false));
                  });
                  if (indexOfTitle.length > 0 || indexOfContent.length > 0) {
                    isMatch = true;
                    hitCount = indexOfTitle.length + indexOfContent.length;
                  }
                }

                // show search results

                if (isMatch) {
                  // sort index by position of keyword

                  [indexOfTitle, indexOfContent].forEach(function (index) {
                    index.sort(function (itemLeft, itemRight) {
                      if (itemRight.position !== itemLeft.position) {
                        return itemRight.position - itemLeft.position;
                      } else {
                        return itemLeft.word.length - itemRight.word.length;
                      }
                    });
                  });

                  // merge hits into slices

                  function mergeIntoSlice(text, start, end, index) {
                    var item = index[index.length - 1];
                    var position = item.position;
                    var word = item.word;
                    var hits = [];
                    var searchTextCountInSlice = 0;
                    while (position + word.length <= end && index.length != 0) {
                      if (word === searchText) {
                        searchTextCountInSlice++;
                      }
                      hits.push({position: position, length: word.length});
                      var wordEnd = position + word.length;

                      // move to next position of hit

                      index.pop();
                      while (index.length != 0) {
                        item = index[index.length - 1];
                        position = item.position;
                        word = item.word;
                        if (wordEnd > position) {
                          index.pop();
                        } else {
                          break;
                        }
                      }
                    }
                    searchTextCount += searchTextCountInSlice;
                    return {
                      hits: hits,
                      start: start,
                      end: end,
                      searchTextCount: searchTextCountInSlice
                    };
                  }

                  var slicesOfTitle = [];
                  if (indexOfTitle.length != 0) {
                    slicesOfTitle.push(mergeIntoSlice(title, 0, title.length, indexOfTitle));
                  }

                  var slicesOfContent = [];
                  while (indexOfContent.length != 0) {
                    var item = indexOfContent[indexOfContent.length - 1];
                    var position = item.position;
                    var word = item.word;
                    // cut out 100 characters
                    var start = position - 20;
                    var end = position + 80;
                    if(start < 0){
                      start = 0;
                    }
                    if (end < position + word.length) {
                      end = position + word.length;
                    }
                    if(end > content.length){
                      end = content.length;
                    }
                    slicesOfContent.push(mergeIntoSlice(content, start, end, indexOfContent));
                  }

                  // sort slices in content by search text's count and hits' count

                  slicesOfContent.sort(function (sliceLeft, sliceRight) {
                    if (sliceLeft.searchTextCount !== sliceRight.searchTextCount) {
                      return sliceRight.searchTextCount - sliceLeft.searchTextCount;
                    } else if (sliceLeft.hits.length !== sliceRight.hits.length) {
                      return sliceRight.hits.length - sliceLeft.hits.length;
                    } else {
                      return sliceLeft.start - sliceRight.start;
                    }
                  });

                  // select top N slices in content

                  var upperBound = parseInt('1');
                  if (upperBound >= 0) {
                    slicesOfContent = slicesOfContent.slice(0, upperBound);
                  }

                  // highlight title and content

                  function highlightKeyword(text, slice) {
                    var result = '';
                    var prevEnd = slice.start;
                    slice.hits.forEach(function (hit) {
                      result += text.substring(prevEnd, hit.position);
                      var end = hit.position + hit.length;
                      result += '<b class="search-keyword">' + text.substring(hit.position, end) + '</b>';
                      prevEnd = end;
                    });
                    result += text.substring(prevEnd, slice.end);
                    return result;
                  }

                  var resultItem = '';

                  if (slicesOfTitle.length != 0) {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + highlightKeyword(title, slicesOfTitle[0]) + "</a>";
                  } else {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + title + "</a>";
                  }

                  slicesOfContent.forEach(function (slice) {
                    resultItem += "<a href='" + articleUrl + "'>" +
                      "<p class=\"search-result\">" + highlightKeyword(content, slice) +
                      "...</p>" + "</a>";
                  });

                  resultItem += "</li>";
                  resultItems.push({
                    item: resultItem,
                    searchTextCount: searchTextCount,
                    hitCount: hitCount,
                    id: resultItems.length
                  });
                }
              })
            };
            if (keywords.length === 1 && keywords[0] === "") {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-search fa-5x" /></div>'
            } else if (resultItems.length === 0) {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-frown-o fa-5x" /></div>'
            } else {
              resultItems.sort(function (resultLeft, resultRight) {
                if (resultLeft.searchTextCount !== resultRight.searchTextCount) {
                  return resultRight.searchTextCount - resultLeft.searchTextCount;
                } else if (resultLeft.hitCount !== resultRight.hitCount) {
                  return resultRight.hitCount - resultLeft.hitCount;
                } else {
                  return resultRight.id - resultLeft.id;
                }
              });
              var searchResultList = '<ul class=\"search-result-list\">';
              resultItems.forEach(function (result) {
                searchResultList += result.item;
              })
              searchResultList += "</ul>";
              resultContent.innerHTML = searchResultList;
            }
          }

          if ('auto' === 'auto') {
            input.addEventListener('input', inputEventFunction);
          } else {
            $('.search-icon').click(inputEventFunction);
            input.addEventListener('keypress', function (event) {
              if (event.keyCode === 13) {
                inputEventFunction();
              }
            });
          }

          // remove loading animation
          $(".local-search-pop-overlay").remove();
          $('body').css('overflow', '');

          proceedsearch();
        }
      });
    }

    // handle and trigger popup window;
    $('.popup-trigger').click(function(e) {
      e.stopPropagation();
      if (isfetched === false) {
        searchFunc(path, 'local-search-input', 'local-search-result');
      } else {
        proceedsearch();
      };
    });

    $('.popup-btn-close').click(onPopupClose);
    $('.popup').click(function(e){
      e.stopPropagation();
    });
    $(document).on('keyup', function (event) {
      var shouldDismissSearchPopup = event.which === 27 &&
        $('.search-popup').is(':visible');
      if (shouldDismissSearchPopup) {
        onPopupClose();
      }
    });
  </script>





  

  

  

  
  

  

  

  

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